Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode

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Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode. / Biryukov, E. Yu ; Kostsov, V. S.

In: Atmospheric and Oceanic Optics, Vol. 33, No. 6, 11.2020, p. 602-609.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{589970bd1f6a4d48adf7bd33c6193797,

title = "Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode",

abstract = "Abstract: The results of the cloud liquid water path (LWP) “land–sea” gradient retrieval from ground-based measurements of the downwelling microwave radiation near the Gulf of Finland coastline in the suburbs of Saint-Petersburg are presented. The measurements were carried out at the Department of Physics, St. Petersburg State University, by an RPG-HATPRO radiometer operating in the angular scanning mode. The inverse problem is solved by linear regression with the use of different statistical models of cloudiness for training the algorithm. Seven-year average values of the gradient of LWP for summer and winter have been obtained. The results demonstrate the presence of a positive “land–sea” gradient of LWP (larger values over the land and smaller values over the sea) in both periods, which qualitatively agrees with available satellite data.",

keywords = "cloud liquid water water path, horizontal inhomogeneity of atmospheric parameters, inverse problems, microwave radiometer, regression algorithm, remote sensing, troposphere",

author = "Biryukov, {E. Yu} and Kostsov, {V. S.}",

note = "Funding Information: This work was supported by the Russian Foundation for Basic Research (project no. 19-05-00372). Publisher Copyright: {\textcopyright} 2020, Pleiades Publishing, Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2020",

month = nov,

doi = "10.1134/S102485602006007X",

language = "English",

volume = "33",

pages = "602--609",

journal = "Atmospheric and Oceanic Optics",

issn = "1024-8560",

publisher = "Springer Nature",

number = "6",

}

RIS

TY - JOUR

T1 - Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode

AU - Biryukov, E. Yu

AU - Kostsov, V. S.

N1 - Funding Information: This work was supported by the Russian Foundation for Basic Research (project no. 19-05-00372). Publisher Copyright: © 2020, Pleiades Publishing, Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/11

Y1 - 2020/11

N2 - Abstract: The results of the cloud liquid water path (LWP) “land–sea” gradient retrieval from ground-based measurements of the downwelling microwave radiation near the Gulf of Finland coastline in the suburbs of Saint-Petersburg are presented. The measurements were carried out at the Department of Physics, St. Petersburg State University, by an RPG-HATPRO radiometer operating in the angular scanning mode. The inverse problem is solved by linear regression with the use of different statistical models of cloudiness for training the algorithm. Seven-year average values of the gradient of LWP for summer and winter have been obtained. The results demonstrate the presence of a positive “land–sea” gradient of LWP (larger values over the land and smaller values over the sea) in both periods, which qualitatively agrees with available satellite data.

AB - Abstract: The results of the cloud liquid water path (LWP) “land–sea” gradient retrieval from ground-based measurements of the downwelling microwave radiation near the Gulf of Finland coastline in the suburbs of Saint-Petersburg are presented. The measurements were carried out at the Department of Physics, St. Petersburg State University, by an RPG-HATPRO radiometer operating in the angular scanning mode. The inverse problem is solved by linear regression with the use of different statistical models of cloudiness for training the algorithm. Seven-year average values of the gradient of LWP for summer and winter have been obtained. The results demonstrate the presence of a positive “land–sea” gradient of LWP (larger values over the land and smaller values over the sea) in both periods, which qualitatively agrees with available satellite data.

KW - cloud liquid water water path

KW - horizontal inhomogeneity of atmospheric parameters

KW - inverse problems

KW - microwave radiometer

KW - regression algorithm

KW - remote sensing

KW - troposphere

UR - http://www.scopus.com/inward/record.url?scp=85099944817&partnerID=8YFLogxK

U2 - 10.1134/S102485602006007X

DO - 10.1134/S102485602006007X

M3 - Article

AN - SCOPUS:85099944817

VL - 33

SP - 602

EP - 609

JO - Atmospheric and Oceanic Optics

JF - Atmospheric and Oceanic Optics

SN - 1024-8560

IS - 6

ER -

ID: 74113665